Course Outline
Introduction
Foundations of Computer Vision
Setting Up OpenCV with Python Bindings
Getting Started with OpenCV
Working with Media in Python
- Loading Image Files
- Converting Color Images to Grayscale
- Working with Metadata
Applying Image Theory in Python
- Viewing Images as Multidimensional Arrays
- Understanding Color Spaces
- Pixels and Coordinate Systems Overview
- Retrieving Pixel Data
- Modifying Image Pixels
- Rendering Lines and Geometric Shapes
- Adding Text to Images
- Adjusting Image Dimensions
- Extracting Image Regions
Examining Standard Computer Vision Algorithms and Techniques
- Thresholding Techniques
- Contour Detection
- Background Subtraction Methods
- Utilizing Detectors
Feature Extraction Implementation in Python
- Working with Feature Vectors
- Theory of Color-mean Features
- Extracting Histogram-based Features
- Extracting Grayscale Histogram Features
- Extracting Texture Features
Building an Image Similarity Detection App
Developing a Reverse Image Search Engine
Creating an Object Detection App via Template Matching
Developing a Face Detection App using Haar Cascade
Implementing an Object Detection App using Keypoints
Video Capture and Processing via Webcam
Building a Motion Detection System
Troubleshooting Strategies
Summary and Wrap-up
Requirements
- Prior programming experience in Python
Testimonials (2)
Hands on and the practical
Keeren Bala Krishnan - PENGUIN SOLUTIONS (SMART MODULAR)
Course - Computer Vision with Python
Trainer was very knowlegable and very open to feedback on what pace to go through the content and the topics we covered. I gained alot from the training and feel like I now have a good grasp of image manipulation and some techniques for building a good training set for an image classification problem.
